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Research Hotspots and Trends in Data Mining: From 1993 to 2016

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Data Mining and Big Data (DMBD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10387))

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Abstract

Data mining, which is also referred to as knowledge discovery in databases, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. This paper was to explore a Bibliometric approach to quantitatively assessing current research hotspots and trends on Data Mining, using the related literature in the Science Citation Index (SCI) database from 1993 to 2016. It shows that the research of Data Mining in 2016 was in the mature period with a maturity of 85.55%, the total of 11071 articles covered 131 countries(regions) and Top 3 countries(regions) were USA(2311, 21.37%), China(1474, 13.63%) and Taiwan (904, 8.36%). In addition, Top 10 keywords are found to have citation bursts: big data, social network, particle swarm optimization, data warehouse, gene expression, self-organizing map, intrusion detection, recommender system, bioinformatics, svm. This study provided scholars in the data mining research, as well as research hotspots and future research directions.

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Authors and Affiliations

  1. Center for National Security and Strategic Studies (CNSSS), National University of Defense Technology, Changsha, 410073, China

    Zili Li & Li Zeng

Authors
  1. Zili Li
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  2. Li Zeng
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Correspondence to Zili Li or Li Zeng .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Li, Z., Zeng, L. (2017). Research Hotspots and Trends in Data Mining: From 1993 to 2016. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61844-9

  • Online ISBN: 978-3-319-61845-6

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